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Broker Api Idempotent Cancel Requests

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HimanshuJ16
broker-api-idempotent-cancel-requests

Use when cancelling live orders over an unreliable network. De-duplicates cancel retries and separates a cancel the broker acknowledged from one it completed, so a timeout, 5xx or order-not-found is never read as proof the order is dead.

Overview

PublisherHimanshuJ16
RepositoryAlgo-Trading-Skills
Skill namebroker-api-idempotent-cancel-requests
Stars
50
Forks
7
Bundled files
5
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by HimanshuJ16 on GitHub. Read the source before you install it.

Installation

Install the Broker Api Idempotent Cancel Requests AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/HimanshuJ16/Algo-Trading-Skills/tree/main/skills/broker-api-idempotent-cancel-requests
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/HimanshuJ16/Algo-Trading-Skills.git /tmp/Algo-Trading-Skills
mkdir -p .claude/skills
cp -r /tmp/Algo-Trading-Skills/skills/broker-api-idempotent-cancel-requests .claude/skills/broker-api-idempotent-cancel-requests
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Broker Api Idempotent Cancel Requests in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Broker Api Idempotent Cancel Requests on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Broker Api Idempotent Cancel Requests is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

When to Use

Invoke this skill when a bot issues order cancel requests over an unreliable network, from concurrent threads, or in a retry loop. Cancellation carries race conditions that order placement does not: the matching engine may fill the order microseconds before the cancel arrives, and a lost response leaves the client unable to tell whether the cancel landed.

The skill exists to enforce one distinction that most cancel code gets wrong:

A cancel request is a request, not an outcome.

Every broker consulted says so in its own words. FIX 4.4 defines OrdStatus (tag 39) value 6 — "Pending Cancel (e.g. result of Order Cancel Request <F>)" — as a state distinct from 4 = "Canceled"; only a subsequent ExecutionReport (35=8) moves the order to 4. Alpaca's pending_cancel status is documented as "The order is waiting to be canceled", and its docs state orders "will remain in pending_cancel until canceled by the execution venue that Alpaca routed the order to for execution" — the DELETE /v2/orders/{id} returns 204 long before that. Zerodha Kite Connect states plainly that "Successful placement of an order via the API does not imply its successful execution" and directs clients to postbacks for the actual transition.

So an HTTP 2xx on a cancel means pending cancel, and the order can still fill. Code that frees capital, decrements exposure, or fires a replacement order on that 2xx is acting on an order that is still working.

When NOT to Use

  • As confirmation that an order is dead. This classifies one cancel dispatch. Only the broker's order-state stream — ExecutionReport, postback, or an order-status query — settles the outcome. Use webhook-based-order-fill-notifications for that stream.
  • As a cross-restart idempotency guarantee. The dedup cache is in-memory and per-process. It does not survive a restart and is not shared across replicas. Durable cancel dedup needs an intent ledger — see order-placement-idempotency.
  • As a substitute for a kill switch. Cancelling orders one id at a time through a retrying client is not a flatten-everything control. Use kill-switch-and-drawdown-circuit-breakers and the broker's mass-cancel endpoint.
  • As a rate-limit strategy. It backs off and honours Retry-After, but sizing cancel traffic against a broker's quota belongs to multi-broker-rate-limit-handling and order-to-trade-ratio-fee-penalty-avoidance.

Prerequisites

  • The broker's order id or ClOrdID for the order being cancelled.
  • A cancel id (client_cancel_id) that is stable across retries of the same cancel intent — reusing it is what makes the retry idempotent.
  • Access to the broker's order-state stream or order-status endpoint, for the reconciliation step. Without it, every non-terminal outcome below is a dead end.
  • Documented cancel semantics for your specific broker: which HTTP codes it returns, and whether its cancel endpoint is asynchronous (Alpaca, Kite) or synchronous (Binance DELETE /api/v3/order returns the order already in state CANCELED).

Workflow

  1. Mint a stable cancel id. One id per cancel intent, not per network attempt. Retries of the same intent reuse it; a genuinely new cancel decision gets a new one. Include a process-unique component — a per-process counter alone collides across restarts.

  2. Claim the id before dispatching. Check the dedup cache and the in-flight set under a single lock. Checking the cache and dispatching as two separate steps lets two threads both miss and both hit the broker — Binance auto-bans an IP with HTTP 418 for continuing to send after 429s, so a cancel storm can cost you the ability to cancel at all. A duplicate concurrent caller waits on the first dispatch; it does not add to it.

  3. Dispatch with a bounded, jittered retry. Retry on 5xx, 408, 429, and transport errors. Honour Retry-After when present — RFC 9110 allows either delay-seconds or an HTTP-date, so parse both. Cap it: if the broker asks for longer than your retry budget, stop and hand the number back to the caller rather than sleeping a risk-reducing cancel thread through a ban. Reset the response buffer each attempt, or the final classification runs against a stale earlier body.

  4. Classify — and let ambiguity resolve toward "reconcile". The two error directions are not symmetric. Reporting a live order as dead stops the caller from ever retrying and strands working exposure; reporting a dead order as uncertain costs one status query.

    Broker responseStatusOrder state
    2xxPENDING_CANCELStill working — can fill until an execution report says otherwise
    2xx, synchronous-cancel broker (opt-in)CANCELLEDDead
    4xx "too late to cancel" / "already filled"FILLED_BEFORE_CANCELDead — it filled
    4xx "already cancelled"ALREADY_CANCELLEDDead
    404, or "unknown order" / "no such order"ORDER_UNKNOWNUnknown — reconcile
    Other 4xx (incl. bare Alpaca 422)REJECTEDPresumed still working — reconcile
    Exhausted 5xx / 429 / transport errorUNKNOWNUnknown — reconcile

    Two classifications deserve their reasoning spelled out, because the obvious shortcut is wrong in both:

    • "Order not found" is not proof of cancellation. Binance returns -2011 (CANCEL_REJECTED) and -2013 (NO_SUCH_ORDER, "Order does not exist.") for an order that is genuinely gone and for a request carrying the wrong API key, symbol, or order id — where the order is still live and working. Treat it as ORDER_UNKNOWN and query the order book.
    • "Partially filled" is not "filled". A partial fill does not close the order; the remainder is usually still cancellable. Classifying it as FILLED_BEFORE_CANCEL overstates the executed quantity and corrupts position accounting.

    Match error text with word boundaries and negation guards, not bare substrings — "filled" in detail matches "order was not filled, cannot cancel" and hands the caller a false fill.

  5. Cache only what the broker asserted. PENDING_CANCEL, the three terminal statuses, and REJECTED are cacheable: the broker answered, so re-sending the same id is a duplicate. UNKNOWN and ORDER_UNKNOWN must not be cached. Binance's REST documentation is explicit for the 5xx case: "It is important to NOT treat this as a failure operation; the execution status is UNKNOWN and could have been a success." Caching an indeterminate outcome as terminal makes one lost response permanent — every later retry under that cancel id replays the cached failure and never reaches the broker, leaving a live order that can no longer be cancelled.

  6. Reconcile before acting. Anything that is not terminal means: read the order's state from the broker before adjusting exposure, freeing capital, or re-cancelling. Re-dispatch the same cancel id after an UNKNOWN; use a new one after a REJECTED you have diagnosed and fixed.

Full procedure and per-broker response tables: see references/workflows.md. Standards, FIX mappings, and cited sources: see references/standards.md. Printable pre-flight checklist: see assets/checklist.md.

Common Pitfalls

  • Treating an HTTP 2xx as a completed cancellation. It is an acknowledgement. FIX models this explicitly as OrdStatus 6 (Pending Cancel) preceding 4 (Canceled), and Alpaca orders sit in pending_cancel until the execution venue confirms. The order can still fill.
  • Caching an indeterminate outcome under the cancel id. The single most damaging bug in this pattern: a timeout or exhausted 5xx stored as a terminal failure means every subsequent retry of that cancel id short-circuits to the cache, and the order is never cancelled again.
  • Concluding "order not found" means "order cancelled". The same broker error covers a wrong id, wrong symbol, and wrong API key, all of which leave the order live.
  • Substring matching on broker error text. "filled" in detail fires on "not filled" and on "partially filled". Use anchored patterns with negation guards.
  • Retrying a cancel on a hot loop without deduplication or jitter. Cancel storms trip broker throttles and order-to-trade-ratio penalties; Binance escalates from 429 to a 418 IP ban, at which point you cannot cancel anything.
  • Checking the dedup cache and dispatching as two separate steps. Under concurrency both threads miss and both dispatch. The check and the claim must happen under one lock.
  • Sleeping through a long Retry-After on a cancel path. A cancel reduces risk; blocking it for ten minutes because the broker suggested so is worse than returning control and letting the desk decide.
  • Assuming in-memory idempotency survives a restart. After a process restart the cache is empty and the sequence counter has reset. Persist the cancel id with the order intent.

Verification

  • Run python -m unittest discover -s skills/broker-api-idempotent-cancel-requests/scripts and confirm all tests pass.
  • Confirm an HTTP 200, 202, and 204 each yield PENDING_CANCEL with requires_reconciliation true, and that treat_ack_as_cancelled=True is the only way to get CANCELLED.
  • Drop the response on the first attempt, then retry under the same client_cancel_id, and confirm the retry actually reaches the broker — a cached indeterminate result would silently skip it.
  • Feed {"detail": "order was not filled, cannot cancel"} and {"detail": "order partially filled"} and confirm neither is classified FILLED_BEFORE_CANCEL.
  • Feed a 404 "Order not found" and confirm ORDER_UNKNOWN, not ALREADY_CANCELLED.
  • Feed a bare Alpaca-style 422 "The order status is not cancelable." and confirm REJECTED with is_terminal false.
  • Fire eight concurrent cancels of one client_cancel_id against a slow transport and confirm exactly one broker dispatch and one non-replayed result.
  • Return 429 with Retry-After: 600 against a 5 s retry budget and confirm no sleep occurs, the call returns UNKNOWN, and retry_after_s is surfaced to the caller.

Related Skills

  • order-placement-idempotency
  • webhook-based-order-fill-notifications
  • broker-agnostic-adapter-interface
  • multi-broker-rate-limit-handling
  • broker-side-order-throttle-detection
  • order-to-trade-ratio-fee-penalty-avoidance

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Broker Api Idempotent Cancel Requests AI skill do?

Use when cancelling live orders over an unreliable network. De-duplicates cancel retries and separates a cancel the broker acknowledged from one it completed, so a timeout, 5xx or order-not-found is never read as proof the order is dead.

Why use Broker Api Idempotent Cancel Requests on TypingMind?

Because you install it once and use it with any model. Broker Api Idempotent Cancel Requests is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Broker Api Idempotent Cancel Requests in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HimanshuJ16/Algo-Trading-Skills/tree/main/skills/broker-api-idempotent-cancel-requests. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Broker Api Idempotent Cancel Requests?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Broker Api Idempotent Cancel Requests?

As many as you like. As long as a model supports skills, you can use Broker Api Idempotent Cancel Requests with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Broker Api Idempotent Cancel Requests AI skill free?

Yes. It is published on GitHub by HimanshuJ16 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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